03  Service detail

AI, data & cloud specialists

"We need proven AI, data, or cloud specialists — not generalists pretending to be experts."

What you get

  • Role-specific technical screening by senior recruiters
  • ML, MLOps, data engineering, platform, SRE profiles
  • Cloud-certified engineers: AWS, Azure, GCP
  • Candidates briefed on client stack before submittal
  • 72-hour specialist shortlist SLA
  • W2 · U.S. payroll · workers' comp included

Engagement

SLASpecialist shortlist · 72 hr
ModelW2 · U.S. payroll · workers' comp
StructureSpecialized profiles · Pre-screened
Next step

Request a specialist shortlist

Share the role depth and stack requirements. We'll return 2–4 pre-screened specialist profiles in 72 hours.

Request now →

Specialty domains

Three areas of deep specialization.

AI / ML Engineering
LLM application developers, model fine-tuning specialists, MLOps engineers, and AI product architects. Screened for framework depth, not buzzwords.
LLM Application DeveloperMLOps EngineerAI Product ArchitectML Research Engineer
Data Engineering & Architecture
Data engineers, data architects, analytics engineers, and platform leads. Covering Spark, Databricks, dbt, Snowflake, and modern data stack.
Data EngineerData ArchitectAnalytics EngineerData Platform Lead
Cloud & Platform Engineering
Platform engineers, SRE, DevSecOps, and cloud architects across AWS, Azure, and GCP. Certified and hands-on with Terraform, Kubernetes, and CI/CD.
Platform EngineerSite Reliability EngineerCloud ArchitectDevSecOps Engineer

Specialist screening

Depth-first screening. 72 hours.

We screen for real hands-on depth in the specific frameworks, tools, and cloud environments the role requires — not keyword matches.

Framework depthProduction experienceCloud certificationsArchitecture portfolioStack alignment
01
Specialist brief
We take a technical brief — framework depth, seniority level, team context, and deal-breakers. Not a job description intake.
Same day
02
Specialist pipeline search
Search across pre-qualified specialist networks. AI filtering on technical depth before human review.
Hours 1–36
03
Technical depth screening
Senior recruiter reviews technical background, project depth, and certifications against role-specific criteria.
Hours 24–60
04
Specialist shortlist
2–4 pre-screened profiles with technical summary, availability, rate, and role fit notes.
72 hours

Client outcomes

What delivery looks like.

FinTech · Data Platform

They found us a senior Databricks architect with production Delta Lake experience in 4 days. We'd been searching for 6 weeks on our own.

VP Data Engineering
FinTech Platform, New York NY
Healthcare · AI / ML

Every ML profile they sent had real production model experience, not just academic projects. The screening quality was noticeably different.

Director of AI
Digital Health Company, Boston MA
Enterprise · Cloud Migration

Three AWS certified architects placed in two weeks. All three are still with us 10 months later. The vetting process was thorough.

CTO
Enterprise SaaS, Seattle WA
Start your engagement

Need a specialist, not a generalist?

Share the role depth and stack requirements. We'll return 2–4 pre-screened specialist profiles in 72 hours.

Need a full team of specialists, not just one? Explore Evolve Technology →